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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of pan-kinase-family inhibitors using graph convolutional networks to reveal family-sensitive pre-moieties
|
|---|---|
| Published in |
BMC Bioinformatics, June 2022
|
| DOI | 10.1186/s12859-022-04773-0 |
| Pubmed ID | |
| Authors |
Xiang-Yu Lin, Yu-Wei Huang, You-Wei Fan, Yun-Ti Chen, Nikhil Pathak, Yen-Chao Hsu, Jinn-Moon Yang |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Sweden | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 13% |
| Professor | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Postgraduate | 1 | 6% |
| Unknown | 11 | 69% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Computer Science | 1 | 6% |
| Psychology | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 69% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 June 2022.
All research outputs
#15,705,613
of 23,940,793 outputs
Outputs from BMC Bioinformatics
#5,174
of 7,489 outputs
Outputs of similar age
#232,178
of 429,096 outputs
Outputs of similar age from BMC Bioinformatics
#122
of 156 outputs
Altmetric has tracked 23,940,793 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,489 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 429,096 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 156 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.